This n8n workflow automates the process of capturing natural language queries via a webhook, converting them into structured API requests for the Explorium MCP platform, and retrieving detailed prospect data. The workflow begins with a webhook trigger that receives chat messages or user queries. An AI agent, using language models from Anthropic and Explorium, interprets these queries, converting natural language into structured JSON filters for prospect data. Validation nodes ensure the request adheres to valid formats and categories before making API calls to Explorium’s prospect database. The workflow supports pagination with multi-page data retrieval, merges the data, and prepares it for export as CSV for easy analysis or integration. Practical use cases include lead generation, market research, and data enrichment for sales and marketing teams, providing a seamless flow from user inquiry to actionable prospect data.
Automated Prospect Data Retrieval with n8n and AI
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.mcpClientTool, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.outputParserStructured, code, convertToFile, httpRequest, if, splitOut |
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